Introduction to Machine Learning in Python with Scikit-Learn

We are delighted to announce this exciting live workshop. Please join us.

What is going to be covered:

In this workshop, we will show you step-by-step how to implement a linear regression model using Scikit-Learn Library.

Introduction to following core machine learning libraries :

Pandas, Seaborn, Matplotlib and ScikitLearn Library

Learning Outcomes

• A comprehensive introduction to machine learning
• Components of ML.
• Understanding Data Science/Machine Learning Methodology
• Types of Machine Learning models
• Introduction Linear regression model
• Use Python and ScikitLearn Library to process real datasets, train and apply linear regression models.
• How to evaluate machine learning model performance.

Steps:

1. Data Cleaning
2. Data Preparation
3. Data Visualization
4. Model Selection
5. Model Training and Evaluation

This event is suitable for machine learning beginners. We recommend completing any online machine learning courses.

Please go through the following notebook to familiarise yourself with the process

https://www.kaggle.com/dansbecker/your-first-machine-learning-model